-
Mohammed Abdelmaguid,
Security prediction and forecasting for trust management systems in
VANETs,
PhD
(co-supervised), 2024.
-
Mackenzie Tummers, Detecting Intrusions in CBTC Systems with
Mixed-Mode Operations, MSc, 2024.
-
Anika Anwar, Cooperative and Decentralized Defense
in Autonomous Vehicle Networks, PhD, 2023
-
Rafsun
Islam,
Detection of Cyberbullying in Social Media
Texts Using Explainable Artificial Intelligence, MSc, 2023.
-
Tashaffi
Yeasar, Pulse-to-Pair: A Heartbeat-based Authentication Method for
Body Area Networks, MSc, 2023.
-
Dominic Phillips, Security Risk-based Dynamic Platoon
Formation Using Reinforcement Learning,
MSc,
2023.
(Distinguished Master's Thesis Award in
the School of Computing, 2024)
-
Yunke Liu,
Privacy and Regulatory Compliance in Central Bank
Digital Currency, MEng, 2022.
(co-supervised)
-
Abu Faisal, Design and Implementation of A
Secure Communication Architecture, PhD, 2022.
-
Maryam Davari, Toward More Effective
Management of Attribute-Based Access Control Policies, PhD, 2022.
-
Farnood Ghazvini, Mobile Malware Detection and
Mitigation, PhD, 2022.
-
Saeed Shafieian, Methods for Low Footprint
Intrusion Detection Using Ensemble Learning, PhD, 2022.
-
Lama Moukahal,
Security Enhancement of Vehicle Software Systems, PhD, 2021.
(Outstanding PhD Research Achievement
Award of the School of Computing, 2022)
-
Aawista
Chaudhry, A Framework for Modeling Advanced Persistent
Threats in Intelligent Transportation Systems,
MSc, 2021.
-
Scarlett Taviss, Asm2Seq: Explainable Assembly Code Functional
Summary Generation,
MSc
(co-supervised), 2021.
-
Karim Lounis,
Security of Short-Range
Wireless Technologies and an Authentication Protocol for IoT, PhD, 2020.
(Governor General Award, Outstanding PhD
Research Achievement Award of the School of Computing, 2021)
-
Bodrul Alam,
Towards Reliability Evaluation and Integration in Cloud Resource
Management, PhD, 2020.
-
Syed
Hridoy,
Lightweight Authenticated Encryption for Vehicle Controller Area
Network,
MSc,
2020.
-
Najmeh Arabi, Exploring Reinforcement Learning Driven
Cyber-Attacks on Intelligent Transportation Systems, MSc (project),
2020.
-
Juan Wang,
A Secure Keyless Entry System Based on Contextual Information,
MASc, 2019.
-
Hasheem Ilyas, Towards Developing Secure IoT
Applications Using Security Patterns, MSc (project), 2019.
-
Marwa Elasyed,
Advancing Security Services for Cloud Applications,
PhD, 2018.
-
Mohannad
Alswailim, Preserving Accuracy and Privacy in Participatory Sensing
Systems, PhD (co-supervised), 2018.
-
Swawibe Alam, Securing Vehicle Electronic Control Unit (ECU)
Communications and Data, MSc, 2018.
-
Arafa Anis, Securing Web Applications with Secure Coding Practices and
Integrity Verification, MSc, 2018.
-
Jia Wan,
Android App Protection
through Anti-tampering and Anti-debugging Techniques, MSc, 2018.
-
Pushpanjali Chauhan, A Signature-Based Approach for Detecting
DoS and Fuzzy Attacks on Vehicle CAN Bus, MEng (project), 2018.
-
L. Cheema, Machine Learning for In-Vehicular
Intrusion Detection, MEng (project), 2018.
-
Omar Hreirati, An Adaptive Dataset for
Android Malware Research, MEng (project), 2018.
-
Shahrear Iqbal, Towards A Security Framework
for Smartphone Operating Systems, PhD, 2017.
(Outstanding PhD Research Achievement Award of the School of Computing, 2018)
-
Eslam Abdallah,
Defending
Against DDoS
and
Unauthorized
Access
Attacks
in Information
Centric
Networking, PhD
(co-supervised), 2017.
-
Siam Hasan, A Protocol Specific Constraint-based
Intrusion Detection System, MSc (co-supervised), 2017.
-
Maryam
Davari,
Classifying and Predicting
Software Security Vulnerabilities
Based on
Reproducibility, MSc, 2016.
-
Saikat Das, A Cloud-based Framework for Security Analysis of Browser
Extensions, MASc, 2016.
-
P. Ranjan, Techniques to Detect and Prevent
Changes in DOM Tree, Meng (project), 2016.
-
Tianbin Jiang, Security Enhancement in
Virtualization Memory Management, MSc (project), 2016.
-
David Wang, An Anti-debug System for
JavaScript Protection, MEng (project), 2015.
-
Amin Khademi, Browser
Fingerprinting: Analysis, Detection, and Prevention at Runtime, MSc, 2014.
-
Umair Khan, Embedding
Security Monitors in Software Components, PhD, 2014.
-
Hana Hashemi, A
Hybrid Approach to Detect Tabnabbing Attacks, MSc, 2014.
-
Michael Godfrey, On the Prevention of Cache-Based Side-Channel
Attacks in a Cloud Environment, MSc, 2013.
-
Dhyanesh Chaudhari, A Component of Ranking Framework for More
Reliable Software, MASc, 2013
-
Atef Mohamed, Software Architecture-Based Failure Prediction, PhD,
2012. (“Honorable
mention”, Outstanding PhD Research Achievement Award of the School of Computing, 2013)
-
Anton Barua, Protecting Browser Extensions from JavaScript Injection Attacks with Runtime Protection and Static Analysis, MSc,
2012. (Distinguished Master's Thesis Award in the School of
Computing, 2013)
-
Umme Hunny, Orthogonal Security Defect Classification for Secure Software Development, MSc,
2012.
-
Hossain Shahriar, Mitigation of
Web-Based Program Security Vulnerability Exploitations, PhD,
2011. (Outstanding PhD Research Achievement Award of the School of Computing, 2011)
-
Amatul Mohsina, DESERVE: A Framework for
Detecting Program Security Vulnerability Exploitations, MSc,
2011.
-
Xiaofeng Young, Monitoring Components by Using
Aspects and Contracts in Wrappers, MASc, 2010.
-
Istehad Chowdhury, Using Complexity,
Coupling, and Cohesion Metrics as Early Indicators of
Vulnerabilities, MSc, 2009.
-
Hossain Shahriar, Mutation-Based Testing oF
Buffer Overflows, SQL Injections, and Format String Bugs,
MSc, 2008.
(“Honorable mention”, IEEE Kingston Research
Excellence Award for MSc, 2009)
-
Gias Uddin, Development and Automatic
Monitoring of Trust-Aware Service-Based Software, MASc, 2008.
-
Vivian Kuang, A Dependable Network
Intrusion Detection System Using the CSI-KNN Algorithm, MSc,
2007.
-
Yonghua You, A Defense Framework
for Flooding-Based DDoS Attacks, MSc, 2007.
-
Zhi Zhu, An Aspect-oriented
Framework for Intrusion-Aware Software Development, MSc,
2007. (Distinguished Master's Thesis Award in the School of
Computing, 2008)
-
Feroz Raihan, AsmLx Based
Intrusion-Aware Software Systems, MSc, 2006.
-
Mohammed
Hussein, A Framework Utilizing UML for the Specification of
Intrusion Detection-Aware Software, MSc, 2006.
-
Mohammad Al-Subaie, The Power of
Sequential Learning in Anomaly Intrusion Detection, MSc,
2006. (Distinguished Master's Thesis Award in the School of
Computing, 2007)
-
Jiong Zhang, Network Intrusion Detection
Systems Using Random Forests Algorithm, MSc, 2005.
-
Matthew Graves, Detecting
Intrusions by Translating AsmL Specifications to Snort
Rules, MSc, 2005.
-
Pradeep Kannadiga, DIDMA: A Distributed
Intrusion Detection System Using Mobile Agents, MSc, 2005.